Title: Sr. DevOps Engineer / AWS AI Platform Engineer Location: Farmington Hills Michigan 48331 Duration: 6+ months Must Have- AWS
- CI/CD
- cloudwatch
- Docker
- ECS/Fargate
- Experience supporting AI-enabled applications and Amazon Bedrock
- Experience working within large enterprise or regulated environments
- Git/GitHub
- IAM
- Python or shell scripting for infrastructure and deployment automation
Sr. DevOps Engineer / AWS AI Platform Engineer Wealth & Asset Management
Position Summary
The Sr. DevOps Engineer / AWS AI Platform Engineer is responsible for designing, implementing, and supporting secure, scalable, and resilient AWS infrastructure for enterprise applications. This role focuses on cloud infrastructure, Infrastructure as Code (IaC), CI/CD, containerized workloads, security, networking, observability, automation, and operational readiness.
Key Responsibilities- Design, provision, and maintain AWS infrastructure using Terraform and Infrastructure as Code.
- Build and support CI/CD pipelines and automated deployment processes.
- Manage containerized workloads using Amazon ECS, AWS Fargate, Docker, and Amazon ECR.
- Support AWS services including S3, RDS/PostgreSQL, DynamoDB, Amazon Bedrock, CloudWatch, IAM, KMS, Secrets Manager, and EventBridge.
- Configure and support VPC networking, security groups, routing, private connectivity, encryption, and access controls.
- Implement monitoring, logging, alerting, and operational dashboards.
- Troubleshoot infrastructure, deployment, networking, performance, and connectivity issues.
- Ensure platform reliability, scalability, resiliency, security, and operational readiness.
- Partner with application, AI, data, security, architecture, and operations teams.
- Maintain infrastructure documentation, architecture diagrams, deployment standards, and operational procedures.
Required Qualifications- 8+ years of experience in DevOps, AWS cloud engineering, platform engineering, or related roles.
- Strong hands-on experience with AWS, Terraform, ECS/Fargate, Docker, , Git/GitHub, IAM, networking, and CloudWatch.
- Experience with Python or shell scripting for infrastructure and deployment automation.
- Strong understanding of AWS security, monitoring, high availability, and production operations.
- Experience working within large enterprise or regulated environments.
- Experience supporting AI-enabled applications and Amazon Bedrock.